AI Medical Compendium Journal:
Trends in molecular medicine

Showing 1 to 5 of 5 articles

Medical education empowered by generative artificial intelligence large language models.

Trends in molecular medicine
Generative artificial intelligence (GAI) large language models (LLMs), like ChatGPT, have become the world's fastest growing applications. Here, we provide useful strategies for educators in medical and health science (M&HS) to integrate GAI-LLMs int...

Deep learning for subtyping the Alzheimer's disease spectrum.

Trends in molecular medicine
In a recent article from Cell Reports Medicine, Kwak et al. generate novel insights about subtyping cognitively impaired individuals based on structural imaging. Quantifying heterogeneity in Alzheimer's disease via subtyping could help us harness new...

Emergence of New Disease: How Can Artificial Intelligence Help?

Trends in molecular medicine
Emergence of new disease remains a critical parameter in human health and society. Advances in artificial intelligence (AI) allow for rapid processing and analysis of massive and complex data. In this forum article, the recent applications across dis...

A DNA Nanorobot Uprises against Cancer.

Trends in molecular medicine
DNA-based nanorobots have been shown to sense and respond to molecular triggers, such as intracellular pH and cell surface receptors. A recent report describes DNA nanorobots as potential cancer therapeutic agents that can be programmed to trigger co...

Biosignature Discovery for Substance Use Disorders Using Statistical Learning.

Trends in molecular medicine
There are limited biomarkers for substance use disorders (SUDs). Traditional statistical approaches are identifying simple biomarkers in large samples, but clinical use cases are still being established. High-throughput clinical, imaging, and 'omic' ...